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Brain Lesion segmentation from Diffusion-weighteD mri BaseD on aDaptive threshoLDing anD gray LeveL Co-oCCurrenCe matrix
unpublished
This project presents brain lesion segmentation of diffusion-weighted magnetic resonance images (DWI) based on thresholding technique and gray level co-occurrence matrix (GLCM). The lesions are hyperintense lesion from tumour, acute infarction, haemorrhage and abscess, and hypointense lesion from chronic infarction and haemorrhage. Pre-processing is applied to the DWI for intensity normalization, background removal and intensity enhancement. Then, the lesions are segmented by using two
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